Seasonal Prediction of Sea Surface Temperature Anomalies Using a Suite of 13 Coupled Atmosphere-Ocean Models From: Journal of Climate | Date: December 1, 2006| Author: Chakraborty, Arindam; Clayson, Carol Anne; Dewar, William K; Krishnamurti, Ruby; Krishnamurti, T N | Copyright American Meteorological Society Dec 1, 2006. Provided by ProQuest LLC.Copyright information

ABSTRACT

Improved seasonal prediction of sea surface temperature (SST) anomalies over the global oceans is the theme of this paper. Using 13 state-of-the-art coupled global atmosphere-ocean models and 13 yr of seasonal forecasts, the performance of individual models, the ensemble mean, the bias-removed ensemble mean, and the Florida State University (FSU) superensemble are compared. A total of 23 400 seasonal forecasts based on 1-month lead times were available for this study. Evaluati...

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